Immigrants from Kenya vs Immigrants from Oceania Community Comparison

The statistical analysis conducted on geographies consisting of 167,819,333 people shows a weak positive correlation between the proportion of Immigrants from Oceania within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.271. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.131% in Immigrants from Oceania. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 130.9 Immigrants from Oceania.

When considering income, the most significant differences between Immigrants from Kenya and Immigrants from Oceania communities in the United States are seen in householder income under 25 years ($49,633 compared to $53,680, a difference of 8.2%), householder income over 65 years ($59,710 compared to $64,416, a difference of 7.9%), and householder income ages 25 - 44 years ($90,767 compared to $97,623, a difference of 7.5%). Conversely, both communities are more comparable in terms of median female earnings ($39,535 compared to $40,297, a difference of 1.9%), median earnings ($46,214 compared to $47,617, a difference of 3.0%), and median male earnings ($53,427 compared to $55,712, a difference of 4.3%).

When considering poverty, the most significant differences between Immigrants from Kenya and Immigrants from Oceania communities in the United States are seen in child poverty among girls under 16 (17.2% compared to 16.1%, a difference of 6.8%), child poverty among boys under 16 (17.1% compared to 16.0%, a difference of 6.6%), and female poverty among 18-24 year olds (21.0% compared to 19.7%, a difference of 6.4%). Conversely, both communities are more comparable in terms of single male poverty (12.5% compared to 12.4%, a difference of 0.52%), single mother poverty (28.9% compared to 28.7%, a difference of 0.88%), and seniors poverty over the age of 65 (10.5% compared to 10.4%, a difference of 0.98%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Immigrants from Oceania communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.8% compared to 8.1%, a difference of 8.6%), unemployment among ages 35 to 44 years (4.4% compared to 4.8%, a difference of 7.7%), and unemployment among ages 16 to 19 years (16.2% compared to 17.2%, a difference of 6.4%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.4% compared to 4.4%, a difference of 0.50%), unemployment among women with children under 18 years (5.4% compared to 5.3%, a difference of 1.2%), and unemployment among ages 65 to 74 years (5.1% compared to 5.2%, a difference of 1.5%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Immigrants from Oceania communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 37.9%, a difference of 6.9%), in labor force | age > 16 (67.6% compared to 65.5%, a difference of 3.2%), and in labor force | age 20-64 (80.7% compared to 79.3%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.0% compared to 76.1%, a difference of 1.1%), in labor force | age 35-44 (85.1% compared to 83.9%, a difference of 1.5%), and in labor force | age 25-29 (85.4% compared to 84.2%, a difference of 1.5%).

When considering family structure, the most significant differences between Immigrants from Kenya and Immigrants from Oceania communities in the United States are seen in single mother households (7.0% compared to 6.3%, a difference of 11.1%), married-couple households (44.1% compared to 46.9%, a difference of 6.5%), and births to unmarried women (32.1% compared to 30.6%, a difference of 4.9%). Conversely, both communities are more comparable in terms of family households with children (28.1% compared to 28.1%, a difference of 0.030%), divorced or separated (12.2% compared to 11.9%, a difference of 2.5%), and single father households (2.4% compared to 2.5%, a difference of 2.5%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Immigrants from Oceania communities in the United States are seen in 4 or more vehicles in household (6.0% compared to 7.6%, a difference of 28.0%), 3 or more vehicles in household (18.8% compared to 21.8%, a difference of 16.1%), and 2 or more vehicles in household (55.1% compared to 57.5%, a difference of 4.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 90.4%, a difference of 0.060%), no vehicles in household (9.6% compared to 9.7%, a difference of 0.94%), and 2 or more vehicles in household (55.1% compared to 57.5%, a difference of 4.4%).

When considering education level, the most significant differences between Immigrants from Kenya and Immigrants from Oceania communities in the United States are seen in no schooling completed (2.1% compared to 2.2%, a difference of 5.3%), professional degree (4.4% compared to 4.6%, a difference of 4.3%), and master's degree (15.3% compared to 14.7%, a difference of 4.0%). Conversely, both communities are more comparable in terms of doctorate degree (1.9% compared to 1.9%, a difference of 0.050%), nursery school (97.9% compared to 97.8%, a difference of 0.080%), and kindergarten (97.9% compared to 97.8%, a difference of 0.080%).

When considering disability, the most significant differences between Immigrants from Kenya and Immigrants from Oceania communities in the United States are seen in hearing disability (2.9% compared to 3.2%, a difference of 11.0%), disability age 5 to 17 (5.8% compared to 5.4%, a difference of 7.2%), and self-care disability (2.3% compared to 2.5%, a difference of 7.0%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (23.8% compared to 24.0%, a difference of 0.62%), disability age over 75 (47.6% compared to 48.0%, a difference of 0.96%), and female disability (12.0% compared to 12.1%, a difference of 1.1%).